Reactive Machine AI and Ethics
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Technology has helped us move on from overworking ourselves to making it easy by creating robots that do almost everything human beings can do. The question most asked is whether they are safe for humans, even with all its benefits. Concerns raised are mostly quaint; for example, people argue trains are too fast, and telephones will completely change humans because that destroys personal communication. The ethics of AI has been under review in recent years, and the press only offers predictions of how technology will affect the world.
Artificial Intelligence is understood as the human-made computerized system with intelligent behavior or can achieve the set goal. Humans cannot record a wide range of experiences, while machines do it easily. Humans have the ability to choose depending on the changing situation and choose what is relevant (Yapo, 2018). Machines do specifically what they are programmed to do, resulting in decisions that are not comprehensible to humans. Businesses are turning towards AI, which results in better decision-making and efficient ones.
An example of a program in U.S. courts mistakenly flagged People of color(blacks) to become repeat offenders almost twice compared to the white defendants. If humans were to do the same, this would be called racism (Piano, 2020). AI then is not completely safe for decision making because some decisions require collective experiences. We cannot leave our decision making to machines or programmed robots that only learn from the designed program and decisions made are from past events instead of knowing how to make decisions depending on the changing times which will shape the future.
AI applications are even used in sensitive sectors like medical diagnosis, financial institutions, and even military services. In these sectors in case, there is a mistake or a single blip, and it may cause havoc (Dignum, 2018).
Decision making should not be left in the hands of programmed machines, no matter how intelligent they are. We should not allow decisions to be based on past observations because, in some cases, this is unethical and even illegal. The decisions made should have a high standard of fairness, trust, and equals rather than statistical accuracy. AI machines lack accountability and robustness hence not able to make decisions right in a society (Hauer, 2018). Our societies are based on morals and logical thinking and not data-driven decisions.
This is a world where things are changing and where complex decisions are made. What we consider ethical can be programmed as a framework for decision making. In conclusion, data-driven processes should not completely rely on AI algorithms because it will lead to biased decisions against our ethical values. These algorithms are created by human beings who themselves are biased; hence, they pass it to the algorithms they have created. AI applications are beneficial to human beings but should be reviewed frequently and still have someone to look over them.
References
Yapo, A., & Weiss, J. (2018, January). Ethical implications of bias in machine learning. In Proceedings of the 51st Hawaii International Conference on System Sciences.
Piano, S. L. (2020). Ethical principles in machine learning and artificial intelligence: cases from the field and possible ways forward. Humanities and Social Sciences Communications, 7(1), 1-7.
Dignum, V., Baldoni, M., Baroglio, C., Caon, M., Chatila, R., Dennis, L., … & Micalizio, R. (2018, December). Ethics by design: Necessity or curse?. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 60-66).
Hauer, T. (2018). Society and the second age of machines: algorithms versus ethics. Society, 55(2), 100-106.